With the growth of mobile, social, Big Data, and the Internet of Things, the quantity and variety of data has skyrocketed. InfiniFlash is a massive scale-out, all-flash storage system that provides boundless scale, efficiency, and resiliency for hyperscale and cloud workloads, dramatically reducing cost and complexity.
Flash Innovation for New Workloads
The InfiniFlash all-flash storage system empowers large-scale infrastructure and data center architects to deliver massive scale-out storage solutions. Stemming from decades of research and proven industry-leading SanDisk flash solutions, the InfiniFlash platform builds a path to next-generation data center architectures capable of supporting workloads with instant access to petabytes of data.
Future-Proofed Data Centers
The massive scale-out architecture of the InfiniFlash platform supports agile, robust and easy scaling of stored content. Unlike traditional tiering, this single all-flash SanDisk storage platform makes it possible to scale capacity while delivering high quality of service with consistent, high performance to all applications. Data center managers can keep up with data growth without the complexities of classifying applications or compromising access speeds for applications.
Best Value, Best Time to Insight
Data delivers value only when insights can be extracted; maximum value requires rapid time to insight. InfiniFlash systems reduce the processing time for big data from weeks to hours. Compared to older technologies, the all-flash solution avoids complexity and scales to optimally extract value from the largest cloud and hyperscale environments. Rack-scale consolidation of storage enables TCO benefits through IT consolidation and independent growth of compute tailored to application requirements.
The InfiniFlash system contains all the hardware necessary for hyperscale storage for Big Data: up to 64 InfiniFlash cards in a 3U chassis, and SAS connectors for up to 8 servers.
The InfiniFlash operating system software is available to provide flash optimized scale out and management providing large capacity block and object storage interfaces, easing administration and saving you time.
|Maximum raw capacity||512TB1|
|Power and Connectivity|
|Input voltage||100-240 VAC|
|Input frequency||47-63 Hz|
|Input current||12 Amps max|
|Power cords||2x IEC C14|
|Power||30W idle, 450W typical, 750W maximum|
|Connectivity: SAS 2.0 6Gb/s||8 SFF-8088 connectors; Future zero-downtime upgrade to SAS 3.0 12Gb/s|
|Reliability, Availability and Serviceability|
|MTBF||1.5 million hours|
|Hot-swappable hardware||Expanders, fans, power supplies, flash cards|
|Fans||N+2 (Sustain any two fan failures)|
|Power Supplies||N+1 (Sustain any one power supply failure)|
|Expanders||N+1 (Sustain any one expander failure)|
|Node OS||Ubuntu 14.04|
|Application Servers||All Linux distributions|
|Flash Expansion Slots||64, 8TB flash card each|
|Height (3U) x Width x Length||5.2” (132 mm) x 17.72” (444.5 mm) x 31.5” (800 mm)|
|Fully Populated Weight||100 pounds (45kg)|
|Operating Ambient Conditions||5 to 40˚C, 10% to 90% humidity non-condensing, 10,000 feet; De-rate 1˚C per 1,000 feet|
|Non-Operating Ambient Conditions||40 to 70˚C, 5% to 95% humidity, 10,000 feet- User data retention not guaranteed|
|Transportation Temperature (Short Term)||55 to 85˚C, 5% to 95% humidity, 40,000 feet- User data retention not guaranteed|
|Shock and Vibe|
|Certifications and Materials||WEEE, RoHS, and REACH|
|Per cluster or namespace||10s – 100s of nodes|
|Maximum unique objects per cluster or namespace)||1B per device group; no limits on device groups|
|Maximum replicas||10 per unique object|
|Total cluster maximum||15PB|
|Services and Protocols|
|Cloud protocol access||RESTful API, Swift, S3 API|
|Data protection||Snapshots, configurable replicas, erasure coding|
|Disaster recovery||Geographic asynchronous replication of objects|
|Management||CLI, RESTful HTTP|
|Maximum storage zones (for protection)||64,000 per cluster or namespace|
1. 490TB usable capacity.
2. Based on internal testing. Test report available. Results and performance may vary according to system adoption, configuration and broader system architecture.
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